Azman, Nur Edlynna Rania and Muhkreez Pauzi, Muhammad Ilham and Ahmad Sufi, Nurul Batrisyia Sorfina and Mohammad Shariff, Nur Suhaila and Ruengdit, Sittiporn and Zainuddin, Muhammad Zaid and Subramaniam, Kunasilan and Choy, Ker Woon
(2026)
Bones don’t lie: development of visual learning tools for forensic anthropology education.
Journal of Clinical and Health Sciences (JCHS), 11 (SUPP2).
pp. 5-6.
ISSN 0127-984X
Official URL: https:// jchs-medicine.uitm.edu.my
Abstract
Forensic anthropology plays a crucial role in the medico-legal system by evaluating skeletal remains to assist in identification and crime scene reconstruction. However, in regions like Malaysia, training is hindered by strict legal regulations, religious sensitivities, and a shortage of human skeletal collections. Objective: This project aimed to develop visual learning tools to strengthen forensic anthropology teaching and learning in resource-limited settings
Item Details
| Item Type: | Article |
|---|---|
| Creators: | Creators Email / ID Num. Azman, Nur Edlynna Rania UNSPECIFIED Muhkreez Pauzi, Muhammad Ilham UNSPECIFIED Ahmad Sufi, Nurul Batrisyia Sorfina UNSPECIFIED Mohammad Shariff, Nur Suhaila UNSPECIFIED Ruengdit, Sittiporn UNSPECIFIED Zainuddin, Muhammad Zaid UNSPECIFIED Subramaniam, Kunasilan UNSPECIFIED Choy, Ker Woon choykerwoon@uitm.edu.my |
| Subjects: | R Medicine > RA Public aspects of medicine > Forensic Medicine. Medical jurisprudence. Legal medicine T Technology > T Technology (General) > Technological change > Technological innovations |
| Divisions: | Universiti Teknologi MARA, Selangor > Sungai Buloh Campus > Faculty of Medicine |
| Journal or Publication Title: | Journal of Clinical and Health Sciences (JCHS) |
| ISSN: | 0127-984X |
| Event Title: | The pre-clinical elective Presentation and innovation |
| Event Dates: | 4th September 2025 |
| Volume: | 11 |
| Number: | SUPP2 |
| Page Range: | pp. 5-6 |
| Keywords: | Forensic anthropology education, Visual learning tools, Human osteology, Skeletal identification, Pedagogical methods, 3D bone models, Forensic science |
| Date: | September 2026 |
| URI: | https://ir.uitm.edu.my/id/eprint/148223 |
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